Publications by authors named "Ayden Tchernegovski"
Objective: This systematic review seeks to evaluate the prevalence of local symptoms in patients with benign thyroid disease as described in the literature.
Data Sources: A literature search was conducted across PubMed, Embase, Medline, and Cochrane databases.
Review Methods: Crude symptom prevalence was obtained by addition of data across studies that reported local symptoms, and adjusted symptom frequency was calculated using a random effects model.
Article Synopsis
- * A two-stage deep learning framework was developed to automatically identify and classify DRFs from wrist X-rays using advanced models, mimicking how doctors examine images for abnormalities.
- * The framework demonstrated promising results with 81% accuracy and a strong true positive rate, suggesting its potential for improving automatic fracture classification in clinical settings.